mirror of
https://github.com/osm-search/Nominatim.git
synced 2026-02-16 15:47:58 +00:00
enable all API tests for sqlite and port missing features
This commit is contained in:
Sarah Hoffmann
@@ -15,7 +15,7 @@ from nominatim.api.search.db_searches import CountrySearch
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from nominatim.api.search.db_search_fields import WeightedStrings
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def run_search(apiobj, global_penalty, ccodes,
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def run_search(apiobj, frontend, global_penalty, ccodes,
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country_penalties=None, details=SearchDetails()):
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if country_penalties is None:
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country_penalties = [0.0] * len(ccodes)
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@@ -25,15 +25,16 @@ def run_search(apiobj, global_penalty, ccodes,
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countries = WeightedStrings(ccodes, country_penalties)
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search = CountrySearch(MySearchData())
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api = frontend(apiobj, options=['search'])
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async def run():
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async with apiobj.api._async_api.begin() as conn:
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async with api._async_api.begin() as conn:
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return await search.lookup(conn, details)
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return apiobj.async_to_sync(run())
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return api._loop.run_until_complete(run())
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def test_find_from_placex(apiobj):
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def test_find_from_placex(apiobj, frontend):
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apiobj.add_placex(place_id=55, class_='boundary', type='administrative',
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rank_search=4, rank_address=4,
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name={'name': 'Lolaland'},
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@@ -41,32 +42,32 @@ def test_find_from_placex(apiobj):
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centroid=(10, 10),
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geometry='POLYGON((9.5 9.5, 9.5 10.5, 10.5 10.5, 10.5 9.5, 9.5 9.5))')
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results = run_search(apiobj, 0.5, ['de', 'yw'], [0.0, 0.3])
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results = run_search(apiobj, frontend, 0.5, ['de', 'yw'], [0.0, 0.3])
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assert len(results) == 1
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assert results[0].place_id == 55
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assert results[0].accuracy == 0.8
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def test_find_from_fallback_countries(apiobj):
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def test_find_from_fallback_countries(apiobj, frontend):
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apiobj.add_country('ro', 'POLYGON((0 0, 0 1, 1 1, 1 0, 0 0))')
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apiobj.add_country_name('ro', {'name': 'România'})
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results = run_search(apiobj, 0.0, ['ro'])
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results = run_search(apiobj, frontend, 0.0, ['ro'])
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assert len(results) == 1
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assert results[0].names == {'name': 'România'}
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def test_find_none(apiobj):
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assert len(run_search(apiobj, 0.0, ['xx'])) == 0
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def test_find_none(apiobj, frontend):
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assert len(run_search(apiobj, frontend, 0.0, ['xx'])) == 0
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@pytest.mark.parametrize('coord,numres', [((0.5, 1), 1), ((10, 10), 0)])
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def test_find_near(apiobj, coord, numres):
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def test_find_near(apiobj, frontend, coord, numres):
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apiobj.add_country('ro', 'POLYGON((0 0, 0 1, 1 1, 1 0, 0 0))')
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apiobj.add_country_name('ro', {'name': 'România'})
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results = run_search(apiobj, 0.0, ['ro'],
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results = run_search(apiobj, frontend, 0.0, ['ro'],
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details=SearchDetails(near=napi.Point(*coord),
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near_radius=0.1))
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@@ -92,8 +93,8 @@ class TestCountryParameters:
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napi.GeometryFormat.SVG,
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napi.GeometryFormat.TEXT])
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@pytest.mark.parametrize('cc', ['yw', 'ro'])
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def test_return_geometries(self, apiobj, geom, cc):
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results = run_search(apiobj, 0.5, [cc],
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def test_return_geometries(self, apiobj, frontend, geom, cc):
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results = run_search(apiobj, frontend, 0.5, [cc],
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details=SearchDetails(geometry_output=geom))
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assert len(results) == 1
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@@ -101,8 +102,8 @@ class TestCountryParameters:
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@pytest.mark.parametrize('pid,rids', [(76, [55]), (55, [])])
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def test_exclude_place_id(self, apiobj, pid, rids):
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results = run_search(apiobj, 0.5, ['yw', 'ro'],
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def test_exclude_place_id(self, apiobj, frontend, pid, rids):
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results = run_search(apiobj, frontend, 0.5, ['yw', 'ro'],
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details=SearchDetails(excluded=[pid]))
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assert [r.place_id for r in results] == rids
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@@ -110,8 +111,8 @@ class TestCountryParameters:
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@pytest.mark.parametrize('viewbox,rids', [((9, 9, 11, 11), [55]),
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((-10, -10, -3, -3), [])])
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def test_bounded_viewbox_in_placex(self, apiobj, viewbox, rids):
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results = run_search(apiobj, 0.5, ['yw'],
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def test_bounded_viewbox_in_placex(self, apiobj, frontend, viewbox, rids):
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results = run_search(apiobj, frontend, 0.5, ['yw'],
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details=SearchDetails.from_kwargs({'viewbox': viewbox,
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'bounded_viewbox': True}))
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@@ -120,8 +121,8 @@ class TestCountryParameters:
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@pytest.mark.parametrize('viewbox,numres', [((0, 0, 1, 1), 1),
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((-10, -10, -3, -3), 0)])
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def test_bounded_viewbox_in_fallback(self, apiobj, viewbox, numres):
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results = run_search(apiobj, 0.5, ['ro'],
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def test_bounded_viewbox_in_fallback(self, apiobj, frontend, viewbox, numres):
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results = run_search(apiobj, frontend, 0.5, ['ro'],
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details=SearchDetails.from_kwargs({'viewbox': viewbox,
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'bounded_viewbox': True}))
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@@ -17,7 +17,7 @@ from nominatim.api.search.db_search_fields import WeightedStrings, WeightedCateg
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from nominatim.api.search.db_search_lookups import LookupAll
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def run_search(apiobj, global_penalty, cat, cat_penalty=None, ccodes=[],
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def run_search(apiobj, frontend, global_penalty, cat, cat_penalty=None, ccodes=[],
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details=SearchDetails()):
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class PlaceSearchData:
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@@ -39,21 +39,23 @@ def run_search(apiobj, global_penalty, cat, cat_penalty=None, ccodes=[],
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near_search = NearSearch(0.1, WeightedCategories(cat, cat_penalty), place_search)
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api = frontend(apiobj, options=['search'])
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async def run():
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async with apiobj.api._async_api.begin() as conn:
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async with api._async_api.begin() as conn:
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return await near_search.lookup(conn, details)
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results = apiobj.async_to_sync(run())
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results = api._loop.run_until_complete(run())
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results.sort(key=lambda r: r.accuracy)
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return results
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def test_no_results_inner_query(apiobj):
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assert not run_search(apiobj, 0.4, [('this', 'that')])
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def test_no_results_inner_query(apiobj, frontend):
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assert not run_search(apiobj, frontend, 0.4, [('this', 'that')])
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def test_no_appropriate_results_inner_query(apiobj):
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def test_no_appropriate_results_inner_query(apiobj, frontend):
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apiobj.add_placex(place_id=100, country_code='us',
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centroid=(5.6, 4.3),
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geometry='POLYGON((0.0 0.0, 10.0 0.0, 10.0 2.0, 0.0 2.0, 0.0 0.0))')
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@@ -62,7 +64,7 @@ def test_no_appropriate_results_inner_query(apiobj):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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centroid=(5.6001, 4.2994))
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assert not run_search(apiobj, 0.4, [('amenity', 'bank')])
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assert not run_search(apiobj, frontend, 0.4, [('amenity', 'bank')])
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class TestNearSearch:
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@@ -79,18 +81,18 @@ class TestNearSearch:
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centroid=(-10.3, 56.9))
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def test_near_in_placex(self, apiobj):
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def test_near_in_placex(self, apiobj, frontend):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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centroid=(5.6001, 4.2994))
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apiobj.add_placex(place_id=23, class_='amenity', type='bench',
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centroid=(5.6001, 4.2994))
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results = run_search(apiobj, 0.1, [('amenity', 'bank')])
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results = run_search(apiobj, frontend, 0.1, [('amenity', 'bank')])
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assert [r.place_id for r in results] == [22]
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def test_multiple_types_near_in_placex(self, apiobj):
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def test_multiple_types_near_in_placex(self, apiobj, frontend):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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importance=0.002,
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centroid=(5.6001, 4.2994))
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@@ -98,13 +100,13 @@ class TestNearSearch:
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importance=0.001,
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centroid=(5.6001, 4.2994))
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results = run_search(apiobj, 0.1, [('amenity', 'bank'),
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('amenity', 'bench')])
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results = run_search(apiobj, frontend, 0.1, [('amenity', 'bank'),
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('amenity', 'bench')])
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assert [r.place_id for r in results] == [22, 23]
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def test_near_in_classtype(self, apiobj):
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def test_near_in_classtype(self, apiobj, frontend):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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centroid=(5.6, 4.34))
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apiobj.add_placex(place_id=23, class_='amenity', type='bench',
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@@ -112,13 +114,13 @@ class TestNearSearch:
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apiobj.add_class_type_table('amenity', 'bank')
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apiobj.add_class_type_table('amenity', 'bench')
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results = run_search(apiobj, 0.1, [('amenity', 'bank')])
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results = run_search(apiobj, frontend, 0.1, [('amenity', 'bank')])
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assert [r.place_id for r in results] == [22]
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@pytest.mark.parametrize('cc,rid', [('us', 22), ('mx', 23)])
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def test_restrict_by_country(self, apiobj, cc, rid):
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def test_restrict_by_country(self, apiobj, frontend, cc, rid):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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centroid=(5.6001, 4.2994),
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country_code='us')
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@@ -132,13 +134,13 @@ class TestNearSearch:
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centroid=(-10.3001, 56.9),
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country_code='us')
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results = run_search(apiobj, 0.1, [('amenity', 'bank')], ccodes=[cc, 'fr'])
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results = run_search(apiobj, frontend, 0.1, [('amenity', 'bank')], ccodes=[cc, 'fr'])
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assert [r.place_id for r in results] == [rid]
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@pytest.mark.parametrize('excluded,rid', [(22, 122), (122, 22)])
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def test_exclude_place_by_id(self, apiobj, excluded, rid):
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def test_exclude_place_by_id(self, apiobj, frontend, excluded, rid):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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centroid=(5.6001, 4.2994),
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country_code='us')
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@@ -147,7 +149,7 @@ class TestNearSearch:
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country_code='us')
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results = run_search(apiobj, 0.1, [('amenity', 'bank')],
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results = run_search(apiobj, frontend, 0.1, [('amenity', 'bank')],
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details=SearchDetails(excluded=[excluded]))
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assert [r.place_id for r in results] == [rid]
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@@ -155,12 +157,12 @@ class TestNearSearch:
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@pytest.mark.parametrize('layer,rids', [(napi.DataLayer.POI, [22]),
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(napi.DataLayer.MANMADE, [])])
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def test_with_layer(self, apiobj, layer, rids):
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def test_with_layer(self, apiobj, frontend, layer, rids):
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apiobj.add_placex(place_id=22, class_='amenity', type='bank',
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centroid=(5.6001, 4.2994),
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country_code='us')
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results = run_search(apiobj, 0.1, [('amenity', 'bank')],
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results = run_search(apiobj, frontend, 0.1, [('amenity', 'bank')],
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details=SearchDetails(layers=layer))
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assert [r.place_id for r in results] == rids
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@@ -18,7 +18,9 @@ from nominatim.api.search.db_search_fields import WeightedStrings, WeightedCateg
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FieldLookup, FieldRanking, RankedTokens
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from nominatim.api.search.db_search_lookups import LookupAll, LookupAny, Restrict
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def run_search(apiobj, global_penalty, lookup, ranking, count=2,
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APIOPTIONS = ['search']
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def run_search(apiobj, frontend, global_penalty, lookup, ranking, count=2,
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hnrs=[], pcs=[], ccodes=[], quals=[],
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details=SearchDetails()):
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class MySearchData:
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@@ -32,11 +34,16 @@ def run_search(apiobj, global_penalty, lookup, ranking, count=2,
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search = PlaceSearch(0.0, MySearchData(), count)
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if frontend is None:
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api = apiobj
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else:
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api = frontend(apiobj, options=APIOPTIONS)
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async def run():
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async with apiobj.api._async_api.begin() as conn:
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async with api._async_api.begin() as conn:
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return await search.lookup(conn, details)
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results = apiobj.async_to_sync(run())
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results = api._loop.run_until_complete(run())
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results.sort(key=lambda r: r.accuracy)
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return results
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@@ -59,61 +66,61 @@ class TestNameOnlySearches:
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@pytest.mark.parametrize('lookup_type', [LookupAll, Restrict])
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@pytest.mark.parametrize('rank,res', [([10], [100, 101]),
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([20], [101, 100])])
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def test_lookup_all_match(self, apiobj, lookup_type, rank, res):
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def test_lookup_all_match(self, apiobj, frontend, lookup_type, rank, res):
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lookup = FieldLookup('name_vector', [1,2], lookup_type)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, rank)])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
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assert [r.place_id for r in results] == res
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@pytest.mark.parametrize('lookup_type', [LookupAll, Restrict])
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def test_lookup_all_partial_match(self, apiobj, lookup_type):
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def test_lookup_all_partial_match(self, apiobj, frontend, lookup_type):
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lookup = FieldLookup('name_vector', [1,20], lookup_type)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
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assert len(results) == 1
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assert results[0].place_id == 101
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@pytest.mark.parametrize('rank,res', [([10], [100, 101]),
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([20], [101, 100])])
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def test_lookup_any_match(self, apiobj, rank, res):
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def test_lookup_any_match(self, apiobj, frontend, rank, res):
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lookup = FieldLookup('name_vector', [11,21], LookupAny)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, rank)])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
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assert [r.place_id for r in results] == res
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def test_lookup_any_partial_match(self, apiobj):
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def test_lookup_any_partial_match(self, apiobj, frontend):
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lookup = FieldLookup('name_vector', [20], LookupAll)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking])
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking])
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assert len(results) == 1
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assert results[0].place_id == 101
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@pytest.mark.parametrize('cc,res', [('us', 100), ('mx', 101)])
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def test_lookup_restrict_country(self, apiobj, cc, res):
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def test_lookup_restrict_country(self, apiobj, frontend, cc, res):
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lookup = FieldLookup('name_vector', [1,2], LookupAll)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking], ccodes=[cc])
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], ccodes=[cc])
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assert [r.place_id for r in results] == [res]
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def test_lookup_restrict_placeid(self, apiobj):
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def test_lookup_restrict_placeid(self, apiobj, frontend):
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lookup = FieldLookup('name_vector', [1,2], LookupAll)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [10])])
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results = run_search(apiobj, 0.1, [lookup], [ranking],
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking],
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details=SearchDetails(excluded=[101]))
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assert [r.place_id for r in results] == [100]
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@@ -123,18 +130,18 @@ class TestNameOnlySearches:
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napi.GeometryFormat.KML,
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napi.GeometryFormat.SVG,
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napi.GeometryFormat.TEXT])
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def test_return_geometries(self, apiobj, geom):
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def test_return_geometries(self, apiobj, frontend, geom):
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lookup = FieldLookup('name_vector', [20], LookupAll)
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ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
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results = run_search(apiobj, 0.1, [lookup], [ranking],
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results = run_search(apiobj, frontend, 0.1, [lookup], [ranking],
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details=SearchDetails(geometry_output=geom))
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assert geom.name.lower() in results[0].geometry
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@pytest.mark.parametrize('factor,npoints', [(0.0, 3), (1.0, 2)])
|
||||
def test_return_simplified_geometry(self, apiobj, factor, npoints):
|
||||
def test_return_simplified_geometry(self, apiobj, frontend, factor, npoints):
|
||||
apiobj.add_placex(place_id=333, country_code='us',
|
||||
centroid=(9.0, 9.0),
|
||||
geometry='LINESTRING(8.9 9.0, 9.0 9.0, 9.1 9.0)')
|
||||
@@ -144,7 +151,7 @@ class TestNameOnlySearches:
|
||||
lookup = FieldLookup('name_vector', [55], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking],
|
||||
details=SearchDetails(geometry_output=napi.GeometryFormat.GEOJSON,
|
||||
geometry_simplification=factor))
|
||||
|
||||
@@ -158,50 +165,52 @@ class TestNameOnlySearches:
|
||||
|
||||
@pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.7,4.0,6.0,5.0'])
|
||||
@pytest.mark.parametrize('wcount,rids', [(2, [100, 101]), (20000, [100])])
|
||||
def test_prefer_viewbox(self, apiobj, viewbox, wcount, rids):
|
||||
def test_prefer_viewbox(self, apiobj, frontend, viewbox, wcount, rids):
|
||||
lookup = FieldLookup('name_vector', [1, 2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.2, [RankedTokens(0.0, [21])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking])
|
||||
api = frontend(apiobj, options=APIOPTIONS)
|
||||
results = run_search(api, None, 0.1, [lookup], [ranking])
|
||||
assert [r.place_id for r in results] == [101, 100]
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], count=wcount,
|
||||
results = run_search(api, None, 0.1, [lookup], [ranking], count=wcount,
|
||||
details=SearchDetails.from_kwargs({'viewbox': viewbox}))
|
||||
assert [r.place_id for r in results] == rids
|
||||
|
||||
|
||||
@pytest.mark.parametrize('viewbox', ['5.0,4.0,6.0,5.0', '5.55,4.27,5.62,4.31'])
|
||||
def test_force_viewbox(self, apiobj, viewbox):
|
||||
def test_force_viewbox(self, apiobj, frontend, viewbox):
|
||||
lookup = FieldLookup('name_vector', [1, 2], LookupAll)
|
||||
|
||||
details=SearchDetails.from_kwargs({'viewbox': viewbox,
|
||||
'bounded_viewbox': True})
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], details=details)
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], details=details)
|
||||
assert [r.place_id for r in results] == [100]
|
||||
|
||||
|
||||
def test_prefer_near(self, apiobj):
|
||||
def test_prefer_near(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [1, 2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.9, [RankedTokens(0.0, [21])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking])
|
||||
api = frontend(apiobj, options=APIOPTIONS)
|
||||
results = run_search(api, None, 0.1, [lookup], [ranking])
|
||||
assert [r.place_id for r in results] == [101, 100]
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking],
|
||||
results = run_search(api, None, 0.1, [lookup], [ranking],
|
||||
details=SearchDetails.from_kwargs({'near': '5.6,4.3'}))
|
||||
results.sort(key=lambda r: -r.importance)
|
||||
assert [r.place_id for r in results] == [100, 101]
|
||||
|
||||
|
||||
@pytest.mark.parametrize('radius', [0.09, 0.11])
|
||||
def test_force_near(self, apiobj, radius):
|
||||
def test_force_near(self, apiobj, frontend, radius):
|
||||
lookup = FieldLookup('name_vector', [1, 2], LookupAll)
|
||||
|
||||
details=SearchDetails.from_kwargs({'near': '5.6,4.3',
|
||||
'near_radius': radius})
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], details=details)
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], details=details)
|
||||
|
||||
assert [r.place_id for r in results] == [100]
|
||||
|
||||
@@ -242,72 +251,72 @@ class TestStreetWithHousenumber:
|
||||
@pytest.mark.parametrize('hnr,res', [('20', [91, 1]), ('20 a', [1]),
|
||||
('21', [2]), ('22', [2, 92]),
|
||||
('24', [93]), ('25', [])])
|
||||
def test_lookup_by_single_housenumber(self, apiobj, hnr, res):
|
||||
def test_lookup_by_single_housenumber(self, apiobj, frontend, hnr, res):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=[hnr])
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=[hnr])
|
||||
|
||||
assert [r.place_id for r in results] == res + [1000, 2000]
|
||||
|
||||
|
||||
@pytest.mark.parametrize('cc,res', [('es', [2, 1000]), ('pt', [92, 2000])])
|
||||
def test_lookup_with_country_restriction(self, apiobj, cc, res):
|
||||
def test_lookup_with_country_restriction(self, apiobj, frontend, cc, res):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
ccodes=[cc])
|
||||
|
||||
assert [r.place_id for r in results] == res
|
||||
|
||||
|
||||
def test_lookup_exclude_housenumber_placeid(self, apiobj):
|
||||
def test_lookup_exclude_housenumber_placeid(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
details=SearchDetails(excluded=[92]))
|
||||
|
||||
assert [r.place_id for r in results] == [2, 1000, 2000]
|
||||
|
||||
|
||||
def test_lookup_exclude_street_placeid(self, apiobj):
|
||||
def test_lookup_exclude_street_placeid(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
details=SearchDetails(excluded=[1000]))
|
||||
|
||||
assert [r.place_id for r in results] == [2, 92, 2000]
|
||||
|
||||
|
||||
def test_lookup_only_house_qualifier(self, apiobj):
|
||||
def test_lookup_only_house_qualifier(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
quals=[('place', 'house')])
|
||||
|
||||
assert [r.place_id for r in results] == [2, 92]
|
||||
|
||||
|
||||
def test_lookup_only_street_qualifier(self, apiobj):
|
||||
def test_lookup_only_street_qualifier(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
quals=[('highway', 'residential')])
|
||||
|
||||
assert [r.place_id for r in results] == [1000, 2000]
|
||||
|
||||
|
||||
@pytest.mark.parametrize('rank,found', [(26, True), (27, False), (30, False)])
|
||||
def test_lookup_min_rank(self, apiobj, rank, found):
|
||||
def test_lookup_min_rank(self, apiobj, frontend, rank, found):
|
||||
lookup = FieldLookup('name_vector', [1,2], LookupAll)
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [ranking], hnrs=['22'],
|
||||
details=SearchDetails(min_rank=rank))
|
||||
|
||||
assert [r.place_id for r in results] == ([2, 92, 1000, 2000] if found else [2, 92])
|
||||
@@ -317,17 +326,17 @@ class TestStreetWithHousenumber:
|
||||
napi.GeometryFormat.KML,
|
||||
napi.GeometryFormat.SVG,
|
||||
napi.GeometryFormat.TEXT])
|
||||
def test_return_geometries(self, apiobj, geom):
|
||||
def test_return_geometries(self, apiobj, frontend, geom):
|
||||
lookup = FieldLookup('name_vector', [1, 2], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], hnrs=['20', '21', '22'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['20', '21', '22'],
|
||||
details=SearchDetails(geometry_output=geom))
|
||||
|
||||
assert results
|
||||
assert all(geom.name.lower() in r.geometry for r in results)
|
||||
|
||||
|
||||
def test_very_large_housenumber(apiobj):
|
||||
def test_very_large_housenumber(apiobj, frontend):
|
||||
apiobj.add_placex(place_id=93, class_='place', type='house',
|
||||
parent_place_id=2000,
|
||||
housenumber='2467463524544', country_code='pt')
|
||||
@@ -340,7 +349,7 @@ def test_very_large_housenumber(apiobj):
|
||||
|
||||
lookup = FieldLookup('name_vector', [1, 2], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], hnrs=['2467463524544'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['2467463524544'],
|
||||
details=SearchDetails())
|
||||
|
||||
assert results
|
||||
@@ -348,7 +357,7 @@ def test_very_large_housenumber(apiobj):
|
||||
|
||||
|
||||
@pytest.mark.parametrize('wcount,rids', [(2, [990, 991]), (30000, [990])])
|
||||
def test_name_and_postcode(apiobj, wcount, rids):
|
||||
def test_name_and_postcode(apiobj, frontend, wcount, rids):
|
||||
apiobj.add_placex(place_id=990, class_='highway', type='service',
|
||||
rank_search=27, rank_address=27,
|
||||
postcode='11225',
|
||||
@@ -368,7 +377,7 @@ def test_name_and_postcode(apiobj, wcount, rids):
|
||||
|
||||
lookup = FieldLookup('name_vector', [111], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], pcs=['11225'], count=wcount,
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], pcs=['11225'], count=wcount,
|
||||
details=SearchDetails())
|
||||
|
||||
assert results
|
||||
@@ -398,10 +407,10 @@ class TestInterpolations:
|
||||
|
||||
|
||||
@pytest.mark.parametrize('hnr,res', [('21', [992]), ('22', []), ('23', [991])])
|
||||
def test_lookup_housenumber(self, apiobj, hnr, res):
|
||||
def test_lookup_housenumber(self, apiobj, frontend, hnr, res):
|
||||
lookup = FieldLookup('name_vector', [111], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], hnrs=[hnr])
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=[hnr])
|
||||
|
||||
assert [r.place_id for r in results] == res + [990]
|
||||
|
||||
@@ -410,10 +419,10 @@ class TestInterpolations:
|
||||
napi.GeometryFormat.KML,
|
||||
napi.GeometryFormat.SVG,
|
||||
napi.GeometryFormat.TEXT])
|
||||
def test_osmline_with_geometries(self, apiobj, geom):
|
||||
def test_osmline_with_geometries(self, apiobj, frontend, geom):
|
||||
lookup = FieldLookup('name_vector', [111], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], hnrs=['21'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['21'],
|
||||
details=SearchDetails(geometry_output=geom))
|
||||
|
||||
assert results[0].place_id == 992
|
||||
@@ -446,10 +455,10 @@ class TestTiger:
|
||||
|
||||
|
||||
@pytest.mark.parametrize('hnr,res', [('21', [992]), ('22', []), ('23', [991])])
|
||||
def test_lookup_housenumber(self, apiobj, hnr, res):
|
||||
def test_lookup_housenumber(self, apiobj, frontend, hnr, res):
|
||||
lookup = FieldLookup('name_vector', [111], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], hnrs=[hnr])
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=[hnr])
|
||||
|
||||
assert [r.place_id for r in results] == res + [990]
|
||||
|
||||
@@ -458,10 +467,10 @@ class TestTiger:
|
||||
napi.GeometryFormat.KML,
|
||||
napi.GeometryFormat.SVG,
|
||||
napi.GeometryFormat.TEXT])
|
||||
def test_tiger_with_geometries(self, apiobj, geom):
|
||||
def test_tiger_with_geometries(self, apiobj, frontend, geom):
|
||||
lookup = FieldLookup('name_vector', [111], LookupAll)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [], hnrs=['21'],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [], hnrs=['21'],
|
||||
details=SearchDetails(geometry_output=geom))
|
||||
|
||||
assert results[0].place_id == 992
|
||||
@@ -513,10 +522,10 @@ class TestLayersRank30:
|
||||
(napi.DataLayer.NATURAL, [227]),
|
||||
(napi.DataLayer.MANMADE | napi.DataLayer.NATURAL, [225, 227]),
|
||||
(napi.DataLayer.MANMADE | napi.DataLayer.RAILWAY, [225, 226])])
|
||||
def test_layers_rank30(self, apiobj, layer, res):
|
||||
def test_layers_rank30(self, apiobj, frontend, layer, res):
|
||||
lookup = FieldLookup('name_vector', [34], LookupAny)
|
||||
|
||||
results = run_search(apiobj, 0.1, [lookup], [],
|
||||
results = run_search(apiobj, frontend, 0.1, [lookup], [],
|
||||
details=SearchDetails(layers=layer))
|
||||
|
||||
assert [r.place_id for r in results] == res
|
||||
|
||||
@@ -15,7 +15,7 @@ from nominatim.api.search.db_searches import PoiSearch
|
||||
from nominatim.api.search.db_search_fields import WeightedStrings, WeightedCategories
|
||||
|
||||
|
||||
def run_search(apiobj, global_penalty, poitypes, poi_penalties=None,
|
||||
def run_search(apiobj, frontend, global_penalty, poitypes, poi_penalties=None,
|
||||
ccodes=[], details=SearchDetails()):
|
||||
if poi_penalties is None:
|
||||
poi_penalties = [0.0] * len(poitypes)
|
||||
@@ -27,16 +27,18 @@ def run_search(apiobj, global_penalty, poitypes, poi_penalties=None,
|
||||
|
||||
search = PoiSearch(MySearchData())
|
||||
|
||||
api = frontend(apiobj, options=['search'])
|
||||
|
||||
async def run():
|
||||
async with apiobj.api._async_api.begin() as conn:
|
||||
async with api._async_api.begin() as conn:
|
||||
return await search.lookup(conn, details)
|
||||
|
||||
return apiobj.async_to_sync(run())
|
||||
return api._loop.run_until_complete(run())
|
||||
|
||||
|
||||
@pytest.mark.parametrize('coord,pid', [('34.3, 56.100021', 2),
|
||||
('5.0, 4.59933', 1)])
|
||||
def test_simple_near_search_in_placex(apiobj, coord, pid):
|
||||
def test_simple_near_search_in_placex(apiobj, frontend, coord, pid):
|
||||
apiobj.add_placex(place_id=1, class_='highway', type='bus_stop',
|
||||
centroid=(5.0, 4.6))
|
||||
apiobj.add_placex(place_id=2, class_='highway', type='bus_stop',
|
||||
@@ -44,7 +46,7 @@ def test_simple_near_search_in_placex(apiobj, coord, pid):
|
||||
|
||||
details = SearchDetails.from_kwargs({'near': coord, 'near_radius': 0.001})
|
||||
|
||||
results = run_search(apiobj, 0.1, [('highway', 'bus_stop')], [0.5], details=details)
|
||||
results = run_search(apiobj, frontend, 0.1, [('highway', 'bus_stop')], [0.5], details=details)
|
||||
|
||||
assert [r.place_id for r in results] == [pid]
|
||||
|
||||
@@ -52,7 +54,7 @@ def test_simple_near_search_in_placex(apiobj, coord, pid):
|
||||
@pytest.mark.parametrize('coord,pid', [('34.3, 56.100021', 2),
|
||||
('34.3, 56.4', 2),
|
||||
('5.0, 4.59933', 1)])
|
||||
def test_simple_near_search_in_classtype(apiobj, coord, pid):
|
||||
def test_simple_near_search_in_classtype(apiobj, frontend, coord, pid):
|
||||
apiobj.add_placex(place_id=1, class_='highway', type='bus_stop',
|
||||
centroid=(5.0, 4.6))
|
||||
apiobj.add_placex(place_id=2, class_='highway', type='bus_stop',
|
||||
@@ -61,7 +63,7 @@ def test_simple_near_search_in_classtype(apiobj, coord, pid):
|
||||
|
||||
details = SearchDetails.from_kwargs({'near': coord, 'near_radius': 0.5})
|
||||
|
||||
results = run_search(apiobj, 0.1, [('highway', 'bus_stop')], [0.5], details=details)
|
||||
results = run_search(apiobj, frontend, 0.1, [('highway', 'bus_stop')], [0.5], details=details)
|
||||
|
||||
assert [r.place_id for r in results] == [pid]
|
||||
|
||||
@@ -83,25 +85,25 @@ class TestPoiSearchWithRestrictions:
|
||||
self.args = {'near': '34.3, 56.100021', 'near_radius': 0.001}
|
||||
|
||||
|
||||
def test_unrestricted(self, apiobj):
|
||||
results = run_search(apiobj, 0.1, [('highway', 'bus_stop')], [0.5],
|
||||
def test_unrestricted(self, apiobj, frontend):
|
||||
results = run_search(apiobj, frontend, 0.1, [('highway', 'bus_stop')], [0.5],
|
||||
details=SearchDetails.from_kwargs(self.args))
|
||||
|
||||
assert [r.place_id for r in results] == [1, 2]
|
||||
|
||||
|
||||
def test_restict_country(self, apiobj):
|
||||
results = run_search(apiobj, 0.1, [('highway', 'bus_stop')], [0.5],
|
||||
def test_restict_country(self, apiobj, frontend):
|
||||
results = run_search(apiobj, frontend, 0.1, [('highway', 'bus_stop')], [0.5],
|
||||
ccodes=['de', 'nz'],
|
||||
details=SearchDetails.from_kwargs(self.args))
|
||||
|
||||
assert [r.place_id for r in results] == [2]
|
||||
|
||||
|
||||
def test_restrict_by_viewbox(self, apiobj):
|
||||
def test_restrict_by_viewbox(self, apiobj, frontend):
|
||||
args = {'bounded_viewbox': True, 'viewbox': '34.299,56.0,34.3001,56.10001'}
|
||||
args.update(self.args)
|
||||
results = run_search(apiobj, 0.1, [('highway', 'bus_stop')], [0.5],
|
||||
results = run_search(apiobj, frontend, 0.1, [('highway', 'bus_stop')], [0.5],
|
||||
ccodes=['de', 'nz'],
|
||||
details=SearchDetails.from_kwargs(args))
|
||||
|
||||
|
||||
@@ -15,7 +15,7 @@ from nominatim.api.search.db_searches import PostcodeSearch
|
||||
from nominatim.api.search.db_search_fields import WeightedStrings, FieldLookup, \
|
||||
FieldRanking, RankedTokens
|
||||
|
||||
def run_search(apiobj, global_penalty, pcs, pc_penalties=None,
|
||||
def run_search(apiobj, frontend, global_penalty, pcs, pc_penalties=None,
|
||||
ccodes=[], lookup=[], ranking=[], details=SearchDetails()):
|
||||
if pc_penalties is None:
|
||||
pc_penalties = [0.0] * len(pcs)
|
||||
@@ -29,28 +29,30 @@ def run_search(apiobj, global_penalty, pcs, pc_penalties=None,
|
||||
|
||||
search = PostcodeSearch(0.0, MySearchData())
|
||||
|
||||
api = frontend(apiobj, options=['search'])
|
||||
|
||||
async def run():
|
||||
async with apiobj.api._async_api.begin() as conn:
|
||||
async with api._async_api.begin() as conn:
|
||||
return await search.lookup(conn, details)
|
||||
|
||||
return apiobj.async_to_sync(run())
|
||||
return api._loop.run_until_complete(run())
|
||||
|
||||
|
||||
def test_postcode_only_search(apiobj):
|
||||
def test_postcode_only_search(apiobj, frontend):
|
||||
apiobj.add_postcode(place_id=100, country_code='ch', postcode='12345')
|
||||
apiobj.add_postcode(place_id=101, country_code='pl', postcode='12 345')
|
||||
|
||||
results = run_search(apiobj, 0.3, ['12345', '12 345'], [0.0, 0.1])
|
||||
results = run_search(apiobj, frontend, 0.3, ['12345', '12 345'], [0.0, 0.1])
|
||||
|
||||
assert len(results) == 2
|
||||
assert [r.place_id for r in results] == [100, 101]
|
||||
|
||||
|
||||
def test_postcode_with_country(apiobj):
|
||||
def test_postcode_with_country(apiobj, frontend):
|
||||
apiobj.add_postcode(place_id=100, country_code='ch', postcode='12345')
|
||||
apiobj.add_postcode(place_id=101, country_code='pl', postcode='12 345')
|
||||
|
||||
results = run_search(apiobj, 0.3, ['12345', '12 345'], [0.0, 0.1],
|
||||
results = run_search(apiobj, frontend, 0.3, ['12345', '12 345'], [0.0, 0.1],
|
||||
ccodes=['de', 'pl'])
|
||||
|
||||
assert len(results) == 1
|
||||
@@ -81,30 +83,30 @@ class TestPostcodeSearchWithAddress:
|
||||
country_code='pl')
|
||||
|
||||
|
||||
def test_lookup_both(self, apiobj):
|
||||
def test_lookup_both(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [1,2], 'restrict')
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, ['12345'], lookup=[lookup], ranking=[ranking])
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'], lookup=[lookup], ranking=[ranking])
|
||||
|
||||
assert [r.place_id for r in results] == [100, 101]
|
||||
|
||||
|
||||
def test_restrict_by_name(self, apiobj):
|
||||
def test_restrict_by_name(self, apiobj, frontend):
|
||||
lookup = FieldLookup('name_vector', [10], 'restrict')
|
||||
|
||||
results = run_search(apiobj, 0.1, ['12345'], lookup=[lookup])
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'], lookup=[lookup])
|
||||
|
||||
assert [r.place_id for r in results] == [100]
|
||||
|
||||
|
||||
@pytest.mark.parametrize('coord,place_id', [((16.5, 5), 100),
|
||||
((-45.1, 7.004), 101)])
|
||||
def test_lookup_near(self, apiobj, coord, place_id):
|
||||
def test_lookup_near(self, apiobj, frontend, coord, place_id):
|
||||
lookup = FieldLookup('name_vector', [1,2], 'restrict')
|
||||
ranking = FieldRanking('name_vector', 0.3, [RankedTokens(0.0, [10])])
|
||||
|
||||
results = run_search(apiobj, 0.1, ['12345'],
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'],
|
||||
lookup=[lookup], ranking=[ranking],
|
||||
details=SearchDetails(near=napi.Point(*coord),
|
||||
near_radius=0.6))
|
||||
@@ -116,8 +118,8 @@ class TestPostcodeSearchWithAddress:
|
||||
napi.GeometryFormat.KML,
|
||||
napi.GeometryFormat.SVG,
|
||||
napi.GeometryFormat.TEXT])
|
||||
def test_return_geometries(self, apiobj, geom):
|
||||
results = run_search(apiobj, 0.1, ['12345'],
|
||||
def test_return_geometries(self, apiobj, frontend, geom):
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'],
|
||||
details=SearchDetails(geometry_output=geom))
|
||||
|
||||
assert results
|
||||
@@ -126,8 +128,8 @@ class TestPostcodeSearchWithAddress:
|
||||
|
||||
@pytest.mark.parametrize('viewbox, rids', [('-46,6,-44,8', [101,100]),
|
||||
('16,4,18,6', [100,101])])
|
||||
def test_prefer_viewbox(self, apiobj, viewbox, rids):
|
||||
results = run_search(apiobj, 0.1, ['12345'],
|
||||
def test_prefer_viewbox(self, apiobj, frontend, viewbox, rids):
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'],
|
||||
details=SearchDetails.from_kwargs({'viewbox': viewbox}))
|
||||
|
||||
assert [r.place_id for r in results] == rids
|
||||
@@ -135,8 +137,8 @@ class TestPostcodeSearchWithAddress:
|
||||
|
||||
@pytest.mark.parametrize('viewbox, rid', [('-46,6,-44,8', 101),
|
||||
('16,4,18,6', 100)])
|
||||
def test_restrict_to_viewbox(self, apiobj, viewbox, rid):
|
||||
results = run_search(apiobj, 0.1, ['12345'],
|
||||
def test_restrict_to_viewbox(self, apiobj, frontend, viewbox, rid):
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'],
|
||||
details=SearchDetails.from_kwargs({'viewbox': viewbox,
|
||||
'bounded_viewbox': True}))
|
||||
|
||||
@@ -145,16 +147,16 @@ class TestPostcodeSearchWithAddress:
|
||||
|
||||
@pytest.mark.parametrize('coord,rids', [((17.05, 5), [100, 101]),
|
||||
((-45, 7.1), [101, 100])])
|
||||
def test_prefer_near(self, apiobj, coord, rids):
|
||||
results = run_search(apiobj, 0.1, ['12345'],
|
||||
def test_prefer_near(self, apiobj, frontend, coord, rids):
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'],
|
||||
details=SearchDetails(near=napi.Point(*coord)))
|
||||
|
||||
assert [r.place_id for r in results] == rids
|
||||
|
||||
|
||||
@pytest.mark.parametrize('pid,rid', [(100, 101), (101, 100)])
|
||||
def test_exclude(self, apiobj, pid, rid):
|
||||
results = run_search(apiobj, 0.1, ['12345'],
|
||||
def test_exclude(self, apiobj, frontend, pid, rid):
|
||||
results = run_search(apiobj, frontend, 0.1, ['12345'],
|
||||
details=SearchDetails(excluded=[pid]))
|
||||
|
||||
assert [r.place_id for r in results] == [rid]
|
||||
|
||||
Reference in New Issue
Block a user